Data Scientist, Apple

Machine Learning

Salary not provided

$58.61 - $88.29 per hour. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan

SQL
AWS
Python
Tableau
Junior, Mid and Senior level
San Francisco Bay Area

Office located in Sunnyvale, CA

Apple

Personal technology company

Job no longer available

Apple

Personal technology company

1001+ employees

B2CB2BHardwareSaaSTelecommunicationseCommerce

Job no longer available

Salary not provided

$58.61 - $88.29 per hour. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan

SQL
AWS
Python
Tableau
Junior, Mid and Senior level
San Francisco Bay Area

Office located in Sunnyvale, CA

1001+ employees

B2CB2BHardwareSaaSTelecommunicationseCommerce

Company mission

Apple's mission is to bring the best user experience to its customers through its innovative hardware, software, and services.

Role

Who you are

  • Minimum requirement of a bachelors degree
  • Background in data science, machine learning, Computer vision and statistical data analysis
  • Programming skills in data manipulation & processing (SQL & Python preferred)
  • This role requires a deep understanding of machine learning algorithms, data processing, and model optimization techniques

Desirable

  • Demonstrated experience in in-depth analysis of machine learning model failures
  • Experience crafting, conducting, analyzing, and interpreting experiments and investigations
  • Proven expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc
  • Detail-oriented to keep track of and understand the workings of complex algorithms
  • Self-motivated and curious with creative and critical thinking capabilities to improve data quality evaluation methods for diverse and complex data annotation programs
  • Outstanding verbal and written communication skills, along with strong collaborative abilities
  • Familiar with machine learning interpretability methods

What the job involves

  • The Video Engineering Data Analytics and Quality (DAQ) group is looking for an experienced Data Scientist with a strong background in computer vision and machine learning to join our dynamic team
  • The ideal candidate will be responsible for evaluating machine learning models, developing performance metrics, and conducting thorough failure analysis
  • Evaluate Machine Learning Models: Analyze and validate machine learning and computer vision models to ensure they meet performance standards
  • Develop Metrics: Design and implement metrics to measure the effectiveness and accuracy of models
  • Failure Analysis: Perform detailed failure analysis to understand model weaknesses and identify areas for improvement
  • Data Processing: Preprocess and clean large datasets to prepare them for modeling
  • Model Optimization: Optimize models for performance and scalability, applying state-of-the-art techniques
  • Collaborate: Work closely with cross-functional teams, including software engineers, product managers, and other data scientists, to integrate models into production
  • Documentation: Document processes, model performance, and analysis results

Our take

With a market capitalisation that reached $3 trillion in 2022, Apple is the world's most valuable company. A vertically integrated approach and obsessive focus on the user experience have helped to make Apple one of the most successful companies in the world.

Since taking over at Apple, Tim Cook has been carefully curating the company's reputation as a champion of consumer privacy, trying to set the company apart from others that monetise their users' data.

The company even went as far as to introduce sweeping privacy changes which made it difficult to tailor ads to Apple’s 1bn+ iPhone users. This rocked the $400bn digital ads market, seriously harming the revenue of its bigger rivals in the lucrative industry and forcing them to rebuild their ad infrastructure.

Despite this, the company has been shaken by supply chain issues and moved a considerable amount of its manufacturing from China to India, and increased its Vietnam presence. This is because of multi-pronged production disruption in China, the second largest customer market for Apple, and triggered an estimated 10% revenue drop in the first quarter of 2023.

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Steph

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

204% employee growth in 12 months

Company

Company benefits

  • Everyone has different needs and schedules, and that’s why we offer medical plans that cover both physical and mental healthcare
  • In addition, employees have the option to access medical professionals from almost anywhere and get free confidential counselling — virtual or in person
  • You could also be eligible for help with fitness-related expenses
  • Our medical coverage plans include family-friendly features such as fertility treatments
  • Because we know there’s more than one way to bring a new child into your family, we support all kinds of new parents with paid leave and our gradual return-to-work programme
  • You also get paid time away if you need to care for an ill family member and free guidance to help you find support for childcare, elderly care, legal referrals and more
  • At Apple, we make sure women earn the same as men performing similar work. As part of that effort, your salary history is history — we won’t ask
  • Every employee here also has the opportunity to become an Apple shareholder, because all are eligible for stock grants and also a discount when purchasing Apple stock
  • To help you prepare for retirement, our pension can help you meet your savings goals. And to help you prepare for the unexpected, you’ll have the security of multiple forms of income protection
  • Plan on developing both professionally and personally. Apple University creates classes, seminars and beyond-the-classroom tools that help employees understand Apple’s culture, organisation, values, and role in the world. You can sharpen general business and software skills through online classes
  • For more formal education related to advancing your career at Apple, we’ll reimburse you for certain educational expenses, including tuition
  • Whether you’re exploring personal pursuits, welcoming a new child or caring for a family member, rest assured that you’ll have paid time away when you need it most
  • When you give money to an eligible organisation, we’ll match your donations one-for-one, so your contribution is doubled. And if you choose to donate your time, we’ll contribute US$25 for every hour you volunteer. Whether you donate time or money, Apple will match your contributions up to US$10,000 a year
  • Get the world’s best prices on the world’s best products — Apple products. You’ll also get deals on great third-party accessories
  • And there are services to help you manage life’s day-to-day tasks: dinner reservations, pet-sitters, shopping, personal travel, financial guidance and more

Company values

  • We believe that we’re on the face of the Earth to make great products
  • We believe in the simple, not the complex
  • We believe that we need to own and control the primary technologies behind the products we make
  • We participate only in markets where we can make a significant contribution
  • We believe in saying no to thousands of projects so that we can really focus on the few that are truly important and meaningful to us
  • We believe in deep collaboration and cross-pollination of our groups, which allow us to innovate in a way that others cannot
  • We don’t settle for anything less than excellence in every group in the company, and we have the self-honesty to admit when we’re wrong and the courage to change

Company HQ

Cupertino, CA

Leadership

Tim Cook

(CEO, not founder)

Joined Apple in 1998 and held various senior roles before being promoted to CEO in 2011. Previously Spent 12 years with IBM, most recently as director of North American Fulfilment, where he led manufacturing and distribution functions for IBM’s Personal Computer Company in North and Latin America

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